C++ library for simulating spiking neural networks

3 Commitit

1 Haarat

0 Julkaisut

Frank/Phenom bc0589fabc Add readme.md		4 vuotta sitten
cmake	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
data	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
doc	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
minimal	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
mycxxtests	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
python	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
scripts	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
sensorycancel	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
simulations	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
src	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
.cproject	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
.gitignore	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
.hgignore	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
.project	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
CMakeLists.txt	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
build_all.sh	e8a18157d5 ObjSim: object oriented simulation library for spiking neural networks	4 vuotta sitten
readme.md	bc0589fabc Add readme.md	4 vuotta sitten

ObjSim

This is a c++ based bject oriented library for simulationg spiking neural networks. It was used for simulations in the following publications:

"Using Spatiotemporal Correlations to Learn Topographic Maps for Invariant Object Recognition", Frank Michler, Reinhard Eckhorn, and Thomas Wachtler (2009)
"Adaptive Feedback Inhibition Improves Pattern Discrimination Learning" Frank Michler, Thomas Wachtler, Reinhard Eckhorn (2006)